Normal Distribution and Z-Transformation 1) Consider the random variable N(X,25,2) transform the following into the equivalents Z variable N(Z,0,1) a) Pr(21 < X < 29) b) Pr(X < 7) c) Pr(40 < X)
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- The joint distribution of X and Y is: Pxy(0,0)=1/25, Pxy(0,1)=a, Pxy(0,2)=2/25 Рxy(1,0)-а, Рx(1,1)-b, Рҳ/(1,2)-а Рxy(2,0)-2/25, Рxx(2,1)-а, Рҳ/(2,2)-1/25 You want "a" to make the variance of Y as minimum as possible. X,Y X,Y 1. Fir The variance of Y equals. Tin Select one: а. 1/2 b. 6/25 с. 2/5 d. 3/5 e. 3/10StatisticsLet X(n,p) denote binomial random variable with parameter n and p. so that P(X(n,p) > ( greater equal) x) = summation P(X=i) ( summation limit i=x to n ) if W=X(n+1,p) and Y=X(n,p) explay why W>(greater equal "st" Y) See attached for the correct format.
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